• DocumentCode
    3625778
  • Title

    Feasibility of Image Compression in FPGA based Neural Networks

  • Author

    Vladimir Havel;Karel Vlcek

  • Author_Institution
    Department of Computer Science, V?B - Technical University of Ostrava, 17. listopadu 15, 708 33, Ostrava-Poruba, Czech Republic. vladimir.havel@vsb.cz
  • fYear
    2007
  • fDate
    4/1/2007 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    The paper examines the feasibility of using neural network based image compression in the implementation on single FPGA based platforms. There are examined two paradigms of neural networks in the paper -multilayer perceptron as supervised learning representative, and self-organizing feature map as unsupervised learning or self-organization representative.
  • Keywords
    "Image coding","Field programmable gate arrays","Neural networks","Neurons","Prototypes","Multilayer perceptrons","Chromium","Application software","Network topology","Quantization"
  • Publisher
    ieee
  • Conference_Titel
    Design and Diagnostics of Electronic Circuits and Systems, 2007. DDECS ´07. IEEE
  • Print_ISBN
    1-4244-1161-0
  • Type

    conf

  • DOI
    10.1109/DDECS.2007.4295305
  • Filename
    4295305
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3625778